Gupta, D. (2025) Deep-Myco: Large Language Models for Mycoremediation. Best Paper Award. ,IEEE Conference on AI for Sustainable Innovation.  To appear - IEEE Explore

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Gupta, D. Zhao, M., Vadere, N. (2025) Low-Power Weakly-Supervised Audio Detection for Real-World Mosquito Surveillance.  NeurIPS Workshop on Climate Change. To appear - NeurIPS web site and Climate Change AI.

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Gupta, D. (2024) Deep-Myco: Dataset Generation for Dye Mycoremediation. NeurIPS Workshop on Climate Change.

→ Introduces dataset for modeling fungal dye remediation and pollutant breakdown.

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Gupta, D., Dubey, A. (2024). Towards Improved Sustainability in the Textile Lifecycle with Deep Learning. Proceedings of the 7th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies (COMPASS).

→ Introduces neural models for classifying textile materials and forecasting recycling potential.

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Gupta, D., Burke, P., Phalke, V., Khanduja, N. (2024). Enhancing Educational Websites with AI Chatbots: Design Considerations for Safety. 2024 Conference on AI, Science, Engineering, and Technology (AIxSET), pp. 327-329.
→ Design study on integrating safe conversational agents into learning websites.

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Gupta, D., Gadre, A. (2024). Sound-Based Mosquito Classification via Featurization and Machine Learning. IEEE 7th International Conference on Big Data and Artificial Intelligence.
→ Develops acoustic-feature pipelines for mosquito species detection.

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Zastrozhin, M., Gupta, D., Talagala, N., Akram, J., Grachev, R., Gobbs, A., et al. (2025). Development of a Pharmacogenetic Recommendation Prediction System Based on XGBoost Gradient Boosting Algorithms. Pharmacogenetics and Genomics, 35 (1), 12-13.
→ Uses ensemble learning to improve pharmacogenomic dosing recommendations.

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Gupta, D., Ghanta, S. (2024). Machine Learning Ensemble Prediction of Clinical Dementia Rating Using Multi-Modal Data. Alzheimer’s & Dementia, 20, e089241.
→ Combines imaging + demographic data to predict cognitive-decline scores.

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Gupta, D., Gadre, A. (2024). Enhancing Mosquito Identification and Tracking with Object Detection and Citizen-Science Smartphone Imagery. Applications of Digital Image Processing XLVII, Vol. 13137, 113-120.

→ Explores low-cost citizen-science data collection for vector-surveillance.

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Zastrozhin, M., Gupta, D., Talagala, N., Akram, J., Grachev, R., Gobbs, A., et al. (2024). Advanced ML Approaches to PGx Recommendations in Precision Medicine. IEEE 48th Annual Computers, Software & Applications Conference (COMPSAC).
→ Evaluates gradient-boosted trees and ensembles for personalized medicine.

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Gupta, D., Ramsundar, B. (2024). Poster: Ensemble Methods for ADR Prediction. IEEE/ACM Conference on Connected Health: Applications, Systems & Engineering Technologies (CHASE).
→ Presents ensemble techniques for adverse-drug-reaction classification.

 

Gupta, D., Nair, M., Shukla, S. (2023). Edge Sensor and Machine Learning-Based Ventilation Management to Reduce Airborne Disease Spread. IEEE World AI IoT Congress (AIIoT), pp. 641-648.
→ Edge-AI system for real-time ventilation optimization in indoor spaces.

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Gupta, D. (2022). Early Detection of Alzheimer’s via Machine Learning with Multi-Modal Data. Applications of Machine Learning 2022, Vol. 12227, 159-166.
→ Investigates early-diagnosis models combining MRI and clinical features.